Voltage and Reactive Power Control in DFIG Wind Farm Load bus by FACT Device – UPFC

This paper deals with the analysis and simulation of the Unified Power Flow Controller (UPFC) for Grid connected DFIG wind farm system mitigation. The purpose of the paper is to derive and analyze a reactive power control strategy of UPFC dedicated for DFIG mitigation. The FACT device Unified Power Flow Controller (UPFC) is connected with load bus. Paper has demonstrated the improvement in voltages, power transferred to grid, active and reactive power control. Matlab/simulink is used for the work. Paper demonstrated the simulation results for with and without UPFC for Grid connected Doubly Fed Induction Generator wind farm system.

Artificial-neural-network based unified power flow controller for mitigation of power oscillations

The series and shunt control scheme of unified power flow controller (UPFC) impacts the performance and stability of the power system during power swing. UPFC is the most versatile and voltage source converter device as it can control the real and reactive power of the transmission system simultaneously or selectively. When any system is subjected to any disturbance or fault, there are many challenges in damping power oscillation using conventional methods. This paper presents the neural network-based controller that replaces the proportional-integral (PI) controller to minimize the power oscillations. The performance of the artificial neural network (ANN) controller is evaluated on IEEE 9 bus system and compared with a conventional PI controller.

Detailed Analysis of Unified Power Flow Controller- A Review

Renewable techniques have become more appealing for producing energy in village and moderately village regions because they reduce degradation of environment and provide a plentiful supply of free and environmental energy. Several research works have been carried out all over the planet to assess and investigate the feasibility of hybrid renewable resources (combination of two or more) with the electricity generation for usage in diverse implementation and livelihoods. An explanation of photovoltaic renewable energy systems is demonstrated in this paper.

Optimal setting of interline power flow controller in deregulated power systems congestion management by using artificial intelligent controllers

In electricity market with a deregulation withmany times will become difficult for dispatchingpower, whichis obtained with thepower congestion in transmission lines due to flow of power in buses. To reduce the flow of power in buses and system loss in lines which are heavily loaded, toimproveloadability and system stability for which an Interline Power Flow Controller used. In this article, Disparity Utilization Factor for Line is utilized with the optimal tuning and placement with Gravitational Search Algorithm IPFC hinged transmission lines for power congestion. The rankingof transmission lines by line congestion in terms of relative DLUF. According to the IPFC placementwith the essentialminimum congested, weakline connected to the same bus in the congested distribution network. IPFC optimal Sizing is carried with Gravitational Search Algorithm. The multiobjective function is chosen for parameters tuning of IPFC. A suggested IEEE-30 bus test network is implemented by a graphical representation whichis considered in this study toreduce LUF in transmission lines with IPFC optimal placement. Bothactive power losses and reactive power losses in power systemare necessary to be minimized after every iterationof IPFC optimal tuning. The proposed tuning in this articlegives effectivenesswith the reduction in the values of power system with the objective functions.